OUBoost: boosting based over and under sampling technique for handling imbalanced data.
Sahar Hassanzadeh MostafaeiJafar TanhaPublished in: Int. J. Mach. Learn. Cybern. (2023)
Keyphrases
- imbalanced data
- ensemble methods
- ensemble classifier
- feature selection
- ensemble learning
- base classifiers
- linear regression
- prediction accuracy
- decision trees
- random forest
- classification models
- random forests
- class distribution
- imbalanced datasets
- minority class
- base learners
- class imbalance
- learning algorithm
- machine learning methods
- benchmark datasets
- sampling methods
- support vector machine
- training set
- data sets
- machine learning
- regression problems
- weak classifiers
- classification accuracy
- generalization ability
- multi class
- svm classifier
- microarray